Aligments for a candidate for dddA in Pseudomonas fluorescens FW300-N2C3

GapMind for catabolism of small carbon sources

Aligments for a candidate for dddA in Pseudomonas fluorescens FW300-N2C3

Align 3-hydroxypropionate dehydrogenase (EC 1.1.1.59) (characterized)
to candidate AO356_30225 AO356_30225 choline dehydrogenase

Query= metacyc::MONOMER-15202
         (579 letters)



>lcl|FitnessBrowser__pseudo5_N2C3_1:AO356_30225 AO356_30225 choline
           dehydrogenase
          Length = 546

 Score =  356 bits (914), Expect = e-102
 Identities = 216/546 (39%), Positives = 312/546 (57%), Gaps = 27/546 (4%)

Query: 36  FDYIVVGAGTAGCLLANRLSADPANRVLLIEAGGRDNYHWIHIPVGYLYCINNPRTDWRF 95
           +DYIVVGAG++GC +A  LS DP N VLLIEAG   +  W++ P G      N   +W F
Sbjct: 4   YDYIVVGAGSSGCPVARGLSDDPRNNVLLIEAGPASDRFWVNTPAGMGKLYFNKSLNWNF 63

Query: 96  RTEPDPGLNGRSLIYPRGKTLGGCSSINGMLYLRGQARDYDGWAELTGDDAWRWDNCLPD 155
           RT P   L GR + +PRGK LGG SSINGM+++RG  +D+DGW  L G+  W +++ LP 
Sbjct: 64  RTSPMEKLQGRRMYWPRGKLLGGSSSINGMVFIRGHQKDFDGWRAL-GNPGWGYEDVLPY 122

Query: 156 FMRHEDHYRLDEGGDADPDHYKFHGHGGEWRIEKQRLKWQVLADFATAAVEAGVPRTRDF 215
           F + E     + GGD      ++ G  G   I    +K +   DF  AA   G+P T D 
Sbjct: 123 FKKME---HFERGGD------EYRGANGPLWISDPVVKEKSSYDFIEAANRIGIPVTEDM 173

Query: 216 NRGDNEGVDAFEVNQRSGWRWNASKAFLRGVEQRGNLTVWHSTQVLKLDFASGEGSEPRC 275
           N   ++GV   + N + G R +  +AF+  V +R NLTV    ++ ++ F   EG     
Sbjct: 174 NGALHDGVGFMQHNIQDGQRMSTYRAFIEPVIERPNLTVRTGCELQRVLF---EGR--TA 228

Query: 276 CGVTVERAGKKVVTTARCEVVLSAGAIGSPQLLQLSGIGPTALLAEHAIPVVADLPGVGE 335
            G+ V ++G+     A  EV+LSAG++ +PQ+L LSGIGP A L +HAIP V + PGVG+
Sbjct: 229 VGIEVLKSGRLERIYAAREVILSAGSLKTPQMLMLSGIGPRAELEKHAIPEVLNSPGVGQ 288

Query: 336 NLQDHLQIRSIYKVKGAKTLNTMANSLIGKAKI--GLEYILKRSGPMSMAPSQLCIFTRS 393
           NLQDH  I + ++     + N    +L+G  K   G  Y++ R G +++  SQ+  F +S
Sbjct: 289 NLQDHFYIHTAFRCTPDSSYNA---NLVGLRKYWEGFRYLMTRKGYLALGSSQVAAFVKS 345

Query: 394 SKEYEHPNLEYHVQPLSLEAFGQPLHD---FPAITASVCNLNPTSRGTVRIKSGNPRQAP 450
           S + ++ +L+   +P++ + F     D    P +  SV  L P++ GTV ++S NP    
Sbjct: 346 SPDEDYADLQISFRPMTFQYFPDGTVDVERHPGLGVSVYQLRPSTTGTVTLRSTNPSDPA 405

Query: 451 AISPNYLSTEEDRQVAADSLRVTRHIA-SQPAFAKYDPEEFKPGVQYQSDEDLARLAGDI 509
             +PN+LS++ D       +R  R I  S+P  ++   EE  PG+  ++DED+     + 
Sbjct: 406 DYTPNFLSSDYDVNAVISGVRWIRKIMNSEPIKSRVVSEEL-PGLHIRTDEDIYNYLVET 464

Query: 510 GTTIFHPVGTAKMGRDDDPMAVVDSHLRVRGVTGLRVVDASIMPTITSGNTNSPTLMIAE 569
           G +  H  GT KMG  +D MAVVD  LRVRG+  LRVVDASIMP ITSGNTN+P++MI  
Sbjct: 465 GNSAHHQGGTCKMG--NDAMAVVDERLRVRGIERLRVVDASIMPFITSGNTNAPSIMIGV 522

Query: 570 KAAGWI 575
           KAA  I
Sbjct: 523 KAADLI 528


Lambda     K      H
   0.318    0.135    0.418 

Gapped
Lambda     K      H
   0.267   0.0410    0.140 


Matrix: BLOSUM62
Gap Penalties: Existence: 11, Extension: 1
Number of Sequences: 1
Number of Hits to DB: 882
Number of extensions: 39
Number of successful extensions: 6
Number of sequences better than 1.0e-02: 1
Number of HSP's gapped: 1
Number of HSP's successfully gapped: 1
Length of query: 579
Length of database: 546
Length adjustment: 36
Effective length of query: 543
Effective length of database: 510
Effective search space:   276930
Effective search space used:   276930
Neighboring words threshold: 11
Window for multiple hits: 40
X1: 16 ( 7.3 bits)
X2: 38 (14.6 bits)
X3: 64 (24.7 bits)
S1: 41 (21.7 bits)
S2: 53 (25.0 bits)

This GapMind analysis is from Sep 17 2021. The underlying query database was built on Sep 17 2021.

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Candidates (tab-delimited)
Steps (tab-delimited)
Rules (tab-delimited)
Protein sequences (fasta format)
Organisms (tab-delimited)
SQLite3 databases

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About GapMind

Each pathway is defined by a set of rules based on individual steps or genes. Candidates for each step are identified by using ublast (a fast alternative to protein BLAST) against a database of manually-curated proteins (most of which are experimentally characterized) or by using HMMer with enzyme models (usually from TIGRFam). Ublast hits may be split across two different proteins.

A candidate for a step is "high confidence" if either:

ublast finds a hit to a characterized protein at above 40% identity and 80% coverage, and bits >= other bits+10.
- (Hits to curated proteins without experimental data as to their function are never considered high confidence.)
HMMer finds a hit with 80% coverage of the model, and either other identity < 40 or other coverage < 0.75.

where "other" refers to the best ublast hit to a sequence that is not annotated as performing this step (and is not "ignored").

Otherwise, a candidate is "medium confidence" if either:

ublast finds a hit at above 40% identity and 70% coverage (ignoring otherBits).
ublast finds a hit at above 30% identity and 80% coverage, and bits >= other bits.
HMMer finds a hit (regardless of coverage or other bits).

Other blast hits with at least 50% coverage are "low confidence."

Steps with no high- or medium-confidence candidates may be considered "gaps." For the typical bacterium that can make all 20 amino acids, there are 1-2 gaps in amino acid biosynthesis pathways. For diverse bacteria and archaea that can utilize a carbon source, there is a complete high-confidence catabolic pathway (including a transporter) just 38% of the time, and there is a complete medium-confidence pathway 63% of the time. Gaps may be due to:

our ignorance of proteins' functions,
omissions in the gene models,
frame-shift errors in the genome sequence, or
the organism lacks the pathway.

GapMind relies on the predicted proteins in the genome and does not search the six-frame translation. In most cases, you can search the six-frame translation by clicking on links to Curated BLAST for each step definition (in the per-step page).

For more information, see the paper from 2019 on GapMind for amino acid biosynthesis, the preprint on GapMind for carbon sources, or view the source code.

If you notice any errors or omissions in the step descriptions, or any questionable results, please let us know

by Morgan Price, Arkin group, Lawrence Berkeley National Laboratory

GapMind for catabolism of small carbon sources